A general computational design strategy for stabilizing viral class I fusion proteins

Authors

Karen J Gonzalez, University of Georgia
Jiachen Huang, University of Georgia
Miria F Criado, University of Georgia
Avik Banerjee, University of Georgia
Stephen M Tompkins, University of Georgia
Jarrod J Mousa, University of Georgia
Eva-Maria Strauch, Washington University School of Medicine in St. Louis

Journal

Nature Communications

Publication Date

2-13-2024

Volume

15

Issue

1

First Page

1335

Document Type

Open Access Publication

DOI

10.1038/s41467-024-45480-z

Rights and Permissions

Gonzalez, K.J., Huang, J., Criado, M.F. et al. A general computational design strategy for stabilizing viral class I fusion proteins. Nat Commun 15, 1335 (2024). https://doi.org/10.1038/s41467-024-45480-z This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Recommended Citation

Gonzalez, Karen J; Huang, Jiachen; Criado, Miria F; Banerjee, Avik; Tompkins, Stephen M; Mousa, Jarrod J; and Strauch, Eva-Maria, "A general computational design strategy for stabilizing viral class I fusion proteins." Nature Communications. 15, 1. 1335 (2024).
https://digitalcommons.wustl.edu/oa_4/3430

Additional Links

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